Danial Faghihi

1.1k citations
45 papers · 782 indexed · h-index 15

Danial Faghihi

42 papers receiving 776 citations

Peers

Danial Faghihi
Comparison fields: 5 of 89
  • Modeling and Simulation 123
  • Structural Biology 16
  • Mechanics of Materials 269
  • Statistics, Probability and Uncertainty 75
  • Materials Chemistry 367
Replace Panagiotis Angelikopoulos with:
Panagiotis Angelikopoulos Switzerland
Tariq Aziz Canada
Ewa Majchrzak Poland
Mohamed H. Doweidar Spain
Hongyan Liu China
Chin Chun Ooi Singapore
Shuwang Li United States
Rafel Bordas United Kingdom
Thierry Bastogne France
Tess J. Moon United States
Danial Faghihi relative to Panagiotis Angelikopoulos Switzerland Panagiotis Angelikopoulos's profile →
Citations per field
00.5×10×16×
Panagiotis Angelikopoulos · 1×
Citations per year

Countries citing papers authored by Danial Faghihi

Since Specialization
Citations

This map shows the geographic impact of Danial Faghihi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danial Faghihi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danial Faghihi more than expected).

Fields of papers citing papers by Danial Faghihi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danial Faghihi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danial Faghihi. The network helps show where Danial Faghihi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Danial Faghihi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danial Faghihi Line = papers co-authored together Danial Faghihi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20233
4 20235
5 20238
6 20228
7 20223
8 202140
9 202121
10 20217
11 202021
12 201713
13 201566
14 20154
15 201434
16 20122
17 201211
18 201213
19 201164
20 201013

About Danial Faghihi

Danial Faghihi is a scholar working on Modeling and Simulation, Statistics, Probability and Uncertainty and Mechanics of Materials, having authored 45 papers that have together received 782 indexed citations. Recurring topics across this work include Microstructure and mechanical properties (14 papers), Nonlocal and gradient elasticity in micro/nano structures (9 papers), Probabilistic and Robust Engineering Design (7 papers), Metal and Thin Film Mechanics (7 papers), Aerogels and thermal insulation (6 papers), High-Velocity Impact and Material Behavior (5 papers), Mathematical Biology Tumor Growth (5 papers) and Boron and Carbon Nanomaterials Research (3 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Structural Biology (16 citations) and Mechanics of Materials (269 citations). Danial Faghihi has collaborated with scholars based in United States, South Korea and Jordan. Frequent co-authors include George Z. Voyiadjis, J. Tinsley Oden, Ernesto A. B. F. Lima, Thomas E. Yankeelov, John Virostko, Shenqiang Ren, K. Ravi‐Chandar, Ernesto E. Prudencio, Yida Zhang and Paul T. Bauman. Their work appears in journals such as Journal of Computational Physics, ACS Applied Materials & Interfaces and Science Advances.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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